Nate Silver, one of the world's leading statisticians and analytics gurus, talks to us about why most predictions fail and why some don't (via experience from his book The Signal and the Noise , his blog FiveThirtyEight.com, and his work at the NY Times )....

Frank Van Ham and Graham Wills say that visualization is critical for data analysis because it is the medium between the computer and the user. With Big Data, they propose, you need to be able to examine your model at various scales, at the micro and macro...

Nagui Halim says that one of the challenges of Big Data is that there is a spectrum of uses a user can choose from and InfoSphere Streams fits well into that spectrum. InfoSphere Streams is a high-performance computing platform that allows user-developed...

Inhi Cho Suh sees the trend at this year's conference as what's to come for businesses ... strategy to use Big Data, to carve the future of their companies out of analytics. Suh is Vice President Product Management and Strategy, Information Management. 9:57
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Nancy Pearson likes addressing client challenges, challenges like changing the economics of IT (by altering the IT life cycle) so the costs of IT goes to making more money. With tech and components costs down but labor costs associated with enterprise...

Gordon Burnes, Director of Marketing, IBM Risk Analytics, zeroes in on the financial crisis of 2008 and the raft of ensuing financial regulations that attempt to improve systemic stability. Only 10-15% of the regulations have been implemented as rules,...

Jeff Eckard, Senior Director Product Operations, NetApp, talks about the joint efforts of IBM and NetApp to address the information management and infrastructure needs of busineses around analytics -- both traditional and Hadoop -- and around content. Jeff...

Lou Polisando, Principal at Ernst & Young, LLP, and one of the leaders of the Business Intelligence Practice, takes a look at the uptick in mergers and acquisitions driving the data integration needs of businesses of all sizes, including the life sciences...

Pauline Nist, General Manager of Enterprise Software Alliances for Intel Corporation, suggests that
Hadoop + open source software + affordable, industry-standard hardware = Exposing a whole new generation to analytics. What was previously available only to...

The enthusiastic Paul Zikopoulos hates the term Big Data; he defines Big Data in terms of a shift in corporations from "spending money to save money" to "spending money to make money." Zikopoulos notes that Big Data and predictive analytics can be one or more...

Craig Rhinehart links the healthcare industry to the majority unstructured data, such as observational data. This type of data is the critical component to effective predictive analytics for the healthcare industry. Rhinehart covers much more in this...

David Caldeira gives examples of advanced case management by providing use case scenarios. The advanced case management strategy from IBM unifies information, processes, and people to provide a 360-degree view of the case and relies on content and process...

Tim Vincent explains IBM PureData System and its three optimized workloads ... for transactions, analytics, and operational analytics. He talks about PureData for Transactions and optimizations like placing the hottest data in the best spots on the storage...

Deidre Paknad discusses information economics , how we extract the maximum value out of information and how we manage the associated costs. Most business admit that they cannot measure the actual cost and value of data to their organizations. Paknad explains...